Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 61 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 5.8 KiB |
| Average record size in memory | 98.1 B |
Variable types
| Numeric | 11 |
|---|---|
| Categorical | 1 |
Country Name has constant value "India" | Constant |
Year is highly correlated with GDP (current US$) and 7 other fields | High correlation |
GDP (current US$) is highly correlated with Year and 7 other fields | High correlation |
GDP per capita (current US$) is highly correlated with Year and 7 other fields | High correlation |
GDP growth (annual %) is highly correlated with Country Name | High correlation |
Imports of goods and services (% of GDP) is highly correlated with Year and 7 other fields | High correlation |
Exports of goods and services (% of GDP) is highly correlated with Year and 7 other fields | High correlation |
Total reserves (includes gold, current US$) is highly correlated with Year and 7 other fields | High correlation |
Inflation, consumer prices (annual %) is highly correlated with Life expectancy at birth, total (years) | High correlation |
Population, total is highly correlated with Year and 7 other fields | High correlation |
Population growth (annual %) is highly correlated with Year and 7 other fields | High correlation |
Life expectancy at birth, total (years) is highly correlated with Year and 8 other fields | High correlation |
Country Name is highly correlated with Year and 10 other fields | High correlation |
Year is uniformly distributed | Uniform |
Year has unique values | Unique |
GDP (current US$) has unique values | Unique |
Imports of goods and services (% of GDP) has unique values | Unique |
Total reserves (includes gold, current US$) has unique values | Unique |
Inflation, consumer prices (annual %) has unique values | Unique |
Population, total has unique values | Unique |
Life expectancy at birth, total (years) has unique values | Unique |
GDP growth (annual %) has 1 (1.6%) zeros | Zeros |
Reproduction
| Analysis started | 2022-11-06 10:03:59.670683 |
|---|---|
| Analysis finished | 2022-11-06 10:04:14.789174 |
| Duration | 15.12 seconds |
| Software version | pandas-profiling v3.4.0 |
| Download configuration | config.json |
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1990 |
| Minimum | 1960 |
|---|---|
| Maximum | 2020 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | 1960 |
|---|---|
| 5-th percentile | 1963 |
| Q1 | 1975 |
| median | 1990 |
| Q3 | 2005 |
| 95-th percentile | 2017 |
| Maximum | 2020 |
| Range | 60 |
| Interquartile range (IQR) | 30 |
Descriptive statistics
| Standard deviation | 17.75293403 |
|---|---|
| Coefficient of variation (CV) | 0.008921072377 |
| Kurtosis | -1.2 |
| Mean | 1990 |
| Median Absolute Deviation (MAD) | 15 |
| Skewness | 0 |
| Sum | 121390 |
| Variance | 315.1666667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1960 | 1 | 1.6% |
| 1991 | 1 | 1.6% |
| 1993 | 1 | 1.6% |
| 1994 | 1 | 1.6% |
| 1995 | 1 | 1.6% |
| 1996 | 1 | 1.6% |
| 1997 | 1 | 1.6% |
| 1998 | 1 | 1.6% |
| 1999 | 1 | 1.6% |
| 2000 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 1960 | 1 | |
| 1961 | 1 | |
| 1962 | 1 | |
| 1963 | 1 | |
| 1964 | 1 | |
| 1965 | 1 | |
| 1966 | 1 | |
| 1967 | 1 | |
| 1968 | 1 | |
| 1969 | 1 |
| Value | Count | Frequency (%) |
| 2020 | 1 | |
| 2019 | 1 | |
| 2018 | 1 | |
| 2017 | 1 | |
| 2016 | 1 | |
| 2015 | 1 | |
| 2014 | 1 | |
| 2013 | 1 | |
| 2012 | 1 | |
| 2011 | 1 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 616.0 B |
| India |
|---|
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 305 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | India |
|---|---|
| 2nd row | India |
| 3rd row | India |
| 4th row | India |
| 5th row | India |
Common Values
| Value | Count | Frequency (%) |
| India | 61 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| india | 61 |
Most occurring characters
| Value | Count | Frequency (%) |
| I | 61 | |
| n | 61 | |
| d | 61 | |
| i | 61 | |
| a | 61 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 244 | |
| Uppercase Letter | 61 | 20.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 61 | |
| d | 61 | |
| i | 61 | |
| a | 61 |
Uppercase Letter
| Value | Count | Frequency (%) |
| I | 61 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 305 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| I | 61 | |
| n | 61 | |
| d | 61 | |
| i | 61 | |
| a | 61 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 305 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| I | 61 | |
| n | 61 | |
| d | 61 | |
| i | 61 | |
| a | 61 |
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.58472482 × 1011 |
| Minimum | 3.702988388 × 1010 |
|---|---|
| Maximum | 2.831552223 × 1012 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | 3.702988388 × 1010 |
|---|---|
| 5-th percentile | 4.586546203 × 1010 |
| Q1 | 9.952589912 × 1010 |
| median | 2.882084304 × 1011 |
| Q3 | 8.203815955 × 1011 |
| 95-th percentile | 2.651472946 × 1012 |
| Maximum | 2.831552223 × 1012 |
| Range | 2.794522339 × 1012 |
| Interquartile range (IQR) | 7.208556964 × 1011 |
Descriptive statistics
| Standard deviation | 8.129605664 × 1011 |
|---|---|
| Coefficient of variation (CV) | 1.234615855 |
| Kurtosis | 0.9374817574 |
| Mean | 6.58472482 × 1011 |
| Median Absolute Deviation (MAD) | 2.208574424 × 1011 |
| Skewness | 1.487063725 |
| Sum | 4.01668214 × 1013 |
| Variance | 6.609048825 × 1023 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3.702988388 × 1010 | 1 | 1.6% |
| 2.701053419 × 1011 | 1 | 1.6% |
| 2.79296023 × 1011 | 1 | 1.6% |
| 3.272755835 × 1011 | 1 | 1.6% |
| 3.602819527 × 1011 | 1 | 1.6% |
| 3.928970543 × 1011 | 1 | 1.6% |
| 4.158677539 × 1011 | 1 | 1.6% |
| 4.213514775 × 1011 | 1 | 1.6% |
| 4.588204173 × 1011 | 1 | 1.6% |
| 4.683949373 × 1011 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 3.702988388 × 1010 | 1 | |
| 3.923243578 × 1010 | 1 | |
| 4.216148186 × 1010 | 1 | |
| 4.586546203 × 1010 | 1 | |
| 4.842192346 × 1010 | 1 | |
| 5.01349422 × 1010 | 1 | |
| 5.308545587 × 1010 | 1 | |
| 5.648028994 × 1010 | 1 | |
| 5.844799502 × 1010 | 1 | |
| 5.955485458 × 1010 | 1 |
| Value | Count | Frequency (%) |
| 2.831552223 × 1012 | 1 | |
| 2.702929719 × 1012 | 1 | |
| 2.667687952 × 1012 | 1 | |
| 2.651472946 × 1012 | 1 | |
| 2.294797981 × 1012 | 1 | |
| 2.103587814 × 1012 | 1 | |
| 2.039127446 × 1012 | 1 | |
| 1.856722121 × 1012 | 1 | |
| 1.827637859 × 1012 | 1 | |
| 1.823049928 × 1012 | 1 |
| Distinct | 58 |
|---|---|
| Distinct (%) | 95.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 575.557377 |
| Minimum | 82 |
|---|---|
| Maximum | 2101 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | 82 |
|---|---|
| 5-th percentile | 90 |
| Q1 | 161 |
| median | 340 |
| Q3 | 715 |
| 95-th percentile | 1928 |
| Maximum | 2101 |
| Range | 2019 |
| Interquartile range (IQR) | 554 |
Descriptive statistics
| Standard deviation | 584.0790621 |
|---|---|
| Coefficient of variation (CV) | 1.01480597 |
| Kurtosis | 0.6211983977 |
| Mean | 575.557377 |
| Median Absolute Deviation (MAD) | 207 |
| Skewness | 1.382711036 |
| Sum | 35109 |
| Variance | 341148.3508 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 90 | 2 | 3.3% |
| 346 | 2 | 3.3% |
| 119 | 2 | 3.3% |
| 82 | 1 | 1.6% |
| 1028 | 1 | 1.6% |
| 400 | 1 | 1.6% |
| 415 | 1 | 1.6% |
| 413 | 1 | 1.6% |
| 442 | 1 | 1.6% |
| 443 | 1 | 1.6% |
| Other values (48) | 48 |
| Value | Count | Frequency (%) |
| 82 | 1 | |
| 85 | 1 | |
| 90 | 2 | |
| 96 | 1 | |
| 100 | 1 | |
| 101 | 1 | |
| 108 | 1 | |
| 112 | 1 | |
| 116 | 1 | |
| 119 | 2 |
| Value | Count | Frequency (%) |
| 2101 | 1 | |
| 1997 | 1 | |
| 1981 | 1 | |
| 1928 | 1 | |
| 1733 | 1 | |
| 1606 | 1 | |
| 1574 | 1 | |
| 1458 | 1 | |
| 1450 | 1 | |
| 1444 | 1 |
| Distinct | 59 |
|---|---|
| Distinct (%) | 96.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.938196721 |
| Minimum | -7.25 |
|---|---|
| Maximum | 9.63 |
| Zeros | 1 |
| Zeros (%) | 1.6% |
| Negative | 5 |
| Negative (%) | 8.2% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | -7.25 |
|---|---|
| 5-th percentile | -0.55 |
| Q1 | 3.72 |
| median | 5.53 |
| Q3 | 7.45 |
| 95-th percentile | 8.5 |
| Maximum | 9.63 |
| Range | 16.88 |
| Interquartile range (IQR) | 3.73 |
Descriptive statistics
| Standard deviation | 3.344890884 |
|---|---|
| Coefficient of variation (CV) | 0.6773506754 |
| Kurtosis | 2.899149891 |
| Mean | 4.938196721 |
| Median Absolute Deviation (MAD) | 1.92 |
| Skewness | -1.507247932 |
| Sum | 301.23 |
| Variance | 11.18829503 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7.92 | 2 | 3.3% |
| 7.86 | 2 | 3.3% |
| 0 | 1 | 1.6% |
| 5.48 | 1 | 1.6% |
| 4.75 | 1 | 1.6% |
| 6.66 | 1 | 1.6% |
| 7.57 | 1 | 1.6% |
| 7.55 | 1 | 1.6% |
| 4.05 | 1 | 1.6% |
| 6.18 | 1 | 1.6% |
| Other values (49) | 49 |
| Value | Count | Frequency (%) |
| -7.25 | 1 | |
| -5.24 | 1 | |
| -2.64 | 1 | |
| -0.55 | 1 | |
| -0.06 | 1 | |
| 0 | 1 | |
| 1.06 | 1 | |
| 1.19 | 1 | |
| 1.64 | 1 | |
| 1.66 | 1 |
| Value | Count | Frequency (%) |
| 9.63 | 1 | |
| 9.15 | 1 | |
| 8.85 | 1 | |
| 8.5 | 1 | |
| 8.26 | 1 | |
| 8.06 | 1 | |
| 8 | 1 | |
| 7.92 | 2 | |
| 7.86 | 2 | |
| 7.83 | 1 |
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.74639344 |
| Minimum | 3.71 |
|---|---|
| Maximum | 31.26 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | 3.71 |
|---|---|
| 5-th percentile | 4.03 |
| Q1 | 6.59 |
| median | 8.57 |
| Q3 | 19.64 |
| 95-th percentile | 28.41 |
| Maximum | 31.26 |
| Range | 27.55 |
| Interquartile range (IQR) | 13.05 |
Descriptive statistics
| Standard deviation | 8.155109857 |
|---|---|
| Coefficient of variation (CV) | 0.6397974371 |
| Kurtosis | -0.5647548495 |
| Mean | 12.74639344 |
| Median Absolute Deviation (MAD) | 3.36 |
| Skewness | 0.894043563 |
| Sum | 777.53 |
| Variance | 66.50581678 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6.83 | 1 | 1.6% |
| 8.49 | 1 | 1.6% |
| 9.82 | 1 | 1.6% |
| 10.19 | 1 | 1.6% |
| 12.02 | 1 | 1.6% |
| 11.54 | 1 | 1.6% |
| 11.93 | 1 | 1.6% |
| 12.68 | 1 | 1.6% |
| 13.36 | 1 | 1.6% |
| 13.9 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 3.71 | 1 | |
| 3.88 | 1 | |
| 4 | 1 | |
| 4.03 | 1 | |
| 4.72 | 1 | |
| 4.94 | 1 | |
| 5.21 | 1 | |
| 5.69 | 1 | |
| 5.91 | 1 | |
| 5.95 | 1 |
| Value | Count | Frequency (%) |
| 31.26 | 1 | |
| 31.08 | 1 | |
| 29.27 | 1 | |
| 28.41 | 1 | |
| 26.85 | 1 | |
| 25.95 | 1 | |
| 25.87 | 1 | |
| 24.89 | 1 | |
| 24.46 | 1 | |
| 23.69 | 1 |
| Distinct | 60 |
|---|---|
| Distinct (%) | 98.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.88557377 |
| Minimum | 3.31 |
|---|---|
| Maximum | 25.43 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | 3.31 |
|---|---|
| 5-th percentile | 3.73 |
| Q1 | 5.2 |
| median | 7.05 |
| Q3 | 18.69 |
| 95-th percentile | 24.1 |
| Maximum | 25.43 |
| Range | 22.12 |
| Interquartile range (IQR) | 13.49 |
Descriptive statistics
| Standard deviation | 7.060457616 |
|---|---|
| Coefficient of variation (CV) | 0.648606841 |
| Kurtosis | -0.9845493807 |
| Mean | 10.88557377 |
| Median Absolute Deviation (MAD) | 3.27 |
| Skewness | 0.7175709051 |
| Sum | 664.02 |
| Variance | 49.85006175 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.03 | 2 | 3.3% |
| 4.46 | 1 | 1.6% |
| 21.27 | 1 | 1.6% |
| 9.89 | 1 | 1.6% |
| 10.84 | 1 | 1.6% |
| 10.39 | 1 | 1.6% |
| 10.69 | 1 | 1.6% |
| 11.02 | 1 | 1.6% |
| 11.45 | 1 | 1.6% |
| 13 | 1 | 1.6% |
| Other values (50) | 50 |
| Value | Count | Frequency (%) |
| 3.31 | 1 | |
| 3.67 | 1 | |
| 3.71 | 1 | |
| 3.73 | 1 | |
| 3.78 | 1 | |
| 4.03 | 2 | |
| 4.04 | 1 | |
| 4.14 | 1 | |
| 4.17 | 1 | |
| 4.21 | 1 |
| Value | Count | Frequency (%) |
| 25.43 | 1 | |
| 24.54 | 1 | |
| 24.53 | 1 | |
| 24.1 | 1 | |
| 22.97 | 1 | |
| 22.4 | 1 | |
| 21.27 | 1 | |
| 20.8 | 1 | |
| 20.4 | 1 | |
| 19.93 | 1 |
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.802227322 × 1010 |
| Minimum | 499145125.8 |
|---|---|
| Maximum | 5.902273599 × 1011 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | 499145125.8 |
|---|---|
| 5-th percentile | 607862500.4 |
| Q1 | 2324650347 |
| median | 1.15117406 × 1010 |
| Q3 | 1.378248283 × 1011 |
| 95-th percentile | 3.991671592 × 1011 |
| Maximum | 5.902273599 × 1011 |
| Range | 5.897282148 × 1011 |
| Interquartile range (IQR) | 1.355001779 × 1011 |
Descriptive statistics
| Standard deviation | 1.49710187 × 1011 |
|---|---|
| Coefficient of variation (CV) | 1.527307847 |
| Kurtosis | 1.189565938 |
| Mean | 9.802227322 × 1010 |
| Median Absolute Deviation (MAD) | 1.09038781 × 1010 |
| Skewness | 1.504361246 |
| Sum | 5.979358667 × 1012 |
| Variance | 2.24131401 × 1022 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 674536630.9 | 1 | 1.6% |
| 7615987475 | 1 | 1.6% |
| 1.467462709 × 1010 | 1 | 1.6% |
| 2.422092847 × 1010 | 1 | 1.6% |
| 2.286463692 × 1010 | 1 | 1.6% |
| 2.488936466 × 1010 | 1 | 1.6% |
| 2.838537295 × 1010 | 1 | 1.6% |
| 3.064656366 × 1010 | 1 | 1.6% |
| 3.600529593 × 1010 | 1 | 1.6% |
| 4.105906157 × 1010 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 499145125.8 | 1 | |
| 512791844 | 1 | |
| 600850886.2 | 1 | |
| 607862500.4 | 1 | |
| 609694584.5 | 1 | |
| 663764119.8 | 1 | |
| 666357094.9 | 1 | |
| 674536630.9 | 1 | |
| 730352744.9 | 1 | |
| 927764119.8 | 1 |
| Value | Count | Frequency (%) |
| 5.902273599 × 1011 | 1 | |
| 4.634699022 × 1011 | 1 | |
| 4.12613792 × 1011 | 1 | |
| 3.991671592 × 1011 | 1 | |
| 3.61694322 × 1011 | 1 | |
| 3.53319061 × 1011 | 1 | |
| 3.250810351 × 1011 | 1 | |
| 3.004801688 × 1011 | 1 | |
| 3.004255174 × 1011 | 1 | |
| 2.987394631 × 1011 | 1 |
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.413278689 |
| Minimum | -7.63 |
|---|---|
| Maximum | 28.6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 2 |
| Negative (%) | 3.3% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | -7.63 |
|---|---|
| 5-th percentile | 1.78 |
| Q1 | 4.01 |
| median | 6.67 |
| Q3 | 10.02 |
| 95-th percentile | 13.36 |
| Maximum | 28.6 |
| Range | 36.23 |
| Interquartile range (IQR) | 6.01 |
Descriptive statistics
| Standard deviation | 4.940152738 |
|---|---|
| Coefficient of variation (CV) | 0.6663924217 |
| Kurtosis | 5.464469638 |
| Mean | 7.413278689 |
| Median Absolute Deviation (MAD) | 2.81 |
| Skewness | 0.9644994689 |
| Sum | 452.21 |
| Variance | 24.40510907 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.78 | 1 | 1.6% |
| 13.87 | 1 | 1.6% |
| 6.33 | 1 | 1.6% |
| 10.25 | 1 | 1.6% |
| 10.22 | 1 | 1.6% |
| 8.98 | 1 | 1.6% |
| 7.16 | 1 | 1.6% |
| 13.23 | 1 | 1.6% |
| 4.67 | 1 | 1.6% |
| 4.01 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| -7.63 | 1 | |
| -0.58 | 1 | |
| 1.7 | 1 | |
| 1.78 | 1 | |
| 2.52 | 1 | |
| 2.95 | 1 | |
| 3.08 | 1 | |
| 3.24 | 1 | |
| 3.33 | 1 | |
| 3.63 | 1 |
| Value | Count | Frequency (%) |
| 28.6 | 1 | |
| 16.94 | 1 | |
| 13.87 | 1 | |
| 13.36 | 1 | |
| 13.23 | 1 | |
| 13.11 | 1 | |
| 13.06 | 1 | |
| 11.99 | 1 | |
| 11.87 | 1 | |
| 11.79 | 1 |
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 891394550.1 |
| Minimum | 445954579 |
|---|---|
| Maximum | 1396387127 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | 445954579 |
|---|---|
| 5-th percentile | 477933619 |
| Q1 | 623524219 |
| median | 870452165 |
| Q3 | 1154638713 |
| 95-th percentile | 1354195680 |
| Maximum | 1396387127 |
| Range | 950432548 |
| Interquartile range (IQR) | 531114494 |
Descriptive statistics
| Standard deviation | 297449648.7 |
|---|---|
| Coefficient of variation (CV) | 0.3336902257 |
| Kurtosis | -1.315476685 |
| Mean | 891394550.1 |
| Median Absolute Deviation (MAD) | 265812418 |
| Skewness | 0.1440092234 |
| Sum | 5.437506756 × 1010 |
| Variance | 8.847629349 × 1016 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 445954579 | 1 | 1.6% |
| 888941756 | 1 | 1.6% |
| 926351297 | 1 | 1.6% |
| 945261958 | 1 | 1.6% |
| 964279129 | 1 | 1.6% |
| 983281218 | 1 | 1.6% |
| 1002335230 | 1 | 1.6% |
| 1021434576 | 1 | 1.6% |
| 1040500054 | 1 | 1.6% |
| 1059633675 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 445954579 | 1 | |
| 456351876 | 1 | |
| 467024193 | 1 | |
| 477933619 | 1 | |
| 489059309 | 1 | |
| 500114346 | 1 | |
| 510992617 | 1 | |
| 521987069 | 1 | |
| 533431909 | 1 | |
| 545314670 | 1 |
| Value | Count | Frequency (%) |
| 1396387127 | 1 | |
| 1383112050 | 1 | |
| 1369003306 | 1 | |
| 1354195680 | 1 | |
| 1338636340 | 1 | |
| 1322866505 | 1 | |
| 1307246509 | 1 | |
| 1291132063 | 1 | |
| 1274487215 | 1 | |
| 1257621191 | 1 |
| Distinct | 45 |
|---|---|
| Distinct (%) | 73.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.927704918 |
| Minimum | 0.96 |
|---|---|
| Maximum | 2.34 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | 0.96 |
|---|---|
| 5-th percentile | 1.16 |
| Q1 | 1.62 |
| median | 2.15 |
| Q3 | 2.26 |
| 95-th percentile | 2.33 |
| Maximum | 2.34 |
| Range | 1.38 |
| Interquartile range (IQR) | 0.64 |
Descriptive statistics
| Standard deviation | 0.4190242373 |
|---|---|
| Coefficient of variation (CV) | 0.2173694913 |
| Kurtosis | -0.6221500313 |
| Mean | 1.927704918 |
| Median Absolute Deviation (MAD) | 0.15 |
| Skewness | -0.8988850476 |
| Sum | 117.59 |
| Variance | 0.1755813115 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=45)
| Value | Count | Frequency (%) |
| 2.23 | 4 | 6.6% |
| 2.24 | 3 | 4.9% |
| 2.26 | 3 | 4.9% |
| 2.29 | 3 | 4.9% |
| 2.28 | 3 | 4.9% |
| 2.33 | 2 | 3.3% |
| 2.25 | 2 | 3.3% |
| 1.19 | 2 | 3.3% |
| 2.19 | 2 | 3.3% |
| 2.34 | 2 | 3.3% |
| Other values (35) | 35 |
| Value | Count | Frequency (%) |
| 0.96 | 1 | |
| 1.03 | 1 | |
| 1.09 | 1 | |
| 1.16 | 1 | |
| 1.19 | 2 | |
| 1.25 | 1 | |
| 1.31 | 1 | |
| 1.34 | 1 | |
| 1.37 | 1 | |
| 1.39 | 1 |
| Value | Count | Frequency (%) |
| 2.34 | 2 | |
| 2.33 | 2 | |
| 2.31 | 1 | 1.6% |
| 2.3 | 1 | 1.6% |
| 2.29 | 3 | |
| 2.28 | 3 | |
| 2.27 | 1 | 1.6% |
| 2.26 | 3 | |
| 2.25 | 2 | |
| 2.24 | 3 |
| Distinct | 61 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 57.14622951 |
| Minimum | 41.13 |
|---|---|
| Maximum | 69.73 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 616.0 B |
Quantile statistics
| Minimum | 41.13 |
|---|---|
| 5-th percentile | 42.94 |
| Q1 | 50.63 |
| median | 57.66 |
| Q3 | 64.31 |
| 95-th percentile | 68.97 |
| Maximum | 69.73 |
| Range | 28.6 |
| Interquartile range (IQR) | 13.68 |
Descriptive statistics
| Standard deviation | 8.459559122 |
|---|---|
| Coefficient of variation (CV) | 0.1480335482 |
| Kurtosis | -1.073089409 |
| Mean | 57.14622951 |
| Median Absolute Deviation (MAD) | 7.03 |
| Skewness | -0.2553983687 |
| Sum | 3485.92 |
| Variance | 71.56414055 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 41.13 | 1 | 1.6% |
| 58.15 | 1 | 1.6% |
| 59.12 | 1 | 1.6% |
| 59.59 | 1 | 1.6% |
| 60.06 | 1 | 1.6% |
| 60.53 | 1 | 1.6% |
| 61 | 1 | 1.6% |
| 61.47 | 1 | 1.6% |
| 61.88 | 1 | 1.6% |
| 62.28 | 1 | 1.6% |
| Other values (51) | 51 |
| Value | Count | Frequency (%) |
| 41.13 | 1 | |
| 41.74 | 1 | |
| 42.34 | 1 | |
| 42.94 | 1 | |
| 43.57 | 1 | |
| 44.2 | 1 | |
| 44.84 | 1 | |
| 45.47 | 1 | |
| 46.1 | 1 | |
| 46.75 | 1 |
| Value | Count | Frequency (%) |
| 69.73 | 1 | |
| 69.5 | 1 | |
| 69.27 | 1 | |
| 68.97 | 1 | |
| 68.67 | 1 | |
| 68.37 | 1 | |
| 68.07 | 1 | |
| 67.77 | 1 | |
| 67.32 | 1 | |
| 66.87 | 1 |
Auto
The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Year | Country Name | GDP (current US$) | GDP per capita (current US$) | GDP growth (annual %) | Imports of goods and services (% of GDP) | Exports of goods and services (% of GDP) | Total reserves (includes gold, current US$) | Inflation, consumer prices (annual %) | Population, total | Population growth (annual %) | Life expectancy at birth, total (years) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1960 | India | 3.702988e+10 | 82 | 0.00 | 6.83 | 4.46 | 6.745366e+08 | 1.78 | 445954579 | 2.31 | 41.13 |
| 1 | 1961 | India | 3.923244e+10 | 85 | 3.72 | 5.96 | 4.30 | 6.663571e+08 | 1.70 | 456351876 | 2.33 | 41.74 |
| 2 | 1962 | India | 4.216148e+10 | 90 | 2.93 | 6.03 | 4.17 | 5.127918e+08 | 3.63 | 467024193 | 2.34 | 42.34 |
| 3 | 1963 | India | 4.842192e+10 | 101 | 5.99 | 5.91 | 4.28 | 6.078625e+08 | 2.95 | 477933619 | 2.34 | 42.94 |
| 4 | 1964 | India | 5.648029e+10 | 116 | 7.45 | 5.69 | 3.73 | 4.991451e+08 | 13.36 | 489059309 | 2.33 | 43.57 |
| 5 | 1965 | India | 5.955485e+10 | 119 | -2.64 | 5.21 | 3.31 | 6.008509e+08 | 9.47 | 500114346 | 2.26 | 44.20 |
| 6 | 1966 | India | 4.586546e+10 | 90 | -0.06 | 6.67 | 4.14 | 6.096946e+08 | 10.80 | 510992617 | 2.18 | 44.84 |
| 7 | 1967 | India | 5.013494e+10 | 96 | 7.83 | 5.95 | 4.03 | 6.637641e+08 | 13.06 | 521987069 | 2.15 | 45.47 |
| 8 | 1968 | India | 5.308546e+10 | 100 | 3.39 | 4.94 | 4.04 | 7.303527e+08 | 3.24 | 533431909 | 2.19 | 46.10 |
| 9 | 1969 | India | 5.844800e+10 | 108 | 6.54 | 4.03 | 3.71 | 9.277641e+08 | -0.58 | 545314670 | 2.23 | 46.75 |
Last rows
| Year | Country Name | GDP (current US$) | GDP per capita (current US$) | GDP growth (annual %) | Imports of goods and services (% of GDP) | Exports of goods and services (% of GDP) | Total reserves (includes gold, current US$) | Inflation, consumer prices (annual %) | Population, total | Population growth (annual %) | Life expectancy at birth, total (years) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 51 | 2011 | India | 1.823050e+12 | 1458 | 5.24 | 31.08 | 24.54 | 2.987395e+11 | 8.91 | 1257621191 | 1.37 | 66.87 |
| 52 | 2012 | India | 1.827638e+12 | 1444 | 5.46 | 31.26 | 24.53 | 3.004255e+11 | 9.48 | 1274487215 | 1.34 | 67.32 |
| 53 | 2013 | India | 1.856722e+12 | 1450 | 6.39 | 28.41 | 25.43 | 2.980925e+11 | 10.02 | 1291132063 | 1.31 | 67.77 |
| 54 | 2014 | India | 2.039127e+12 | 1574 | 7.41 | 25.95 | 22.97 | 3.250810e+11 | 6.67 | 1307246509 | 1.25 | 68.07 |
| 55 | 2015 | India | 2.103588e+12 | 1606 | 8.00 | 22.11 | 19.81 | 3.533191e+11 | 4.91 | 1322866505 | 1.19 | 68.37 |
| 56 | 2016 | India | 2.294798e+12 | 1733 | 8.26 | 20.92 | 19.16 | 3.616943e+11 | 4.95 | 1338636340 | 1.19 | 68.67 |
| 57 | 2017 | India | 2.651473e+12 | 1981 | 6.80 | 21.95 | 18.79 | 4.126138e+11 | 3.33 | 1354195680 | 1.16 | 68.97 |
| 58 | 2018 | India | 2.702930e+12 | 1997 | 6.53 | 23.69 | 19.93 | 3.991672e+11 | 3.94 | 1369003306 | 1.09 | 69.27 |
| 59 | 2019 | India | 2.831552e+12 | 2101 | 4.04 | 21.27 | 18.69 | 4.634699e+11 | 3.73 | 1383112050 | 1.03 | 69.50 |
| 60 | 2020 | India | 2.667688e+12 | 1928 | -7.25 | 19.10 | 18.71 | 5.902274e+11 | 6.62 | 1396387127 | 0.96 | 69.73 |